Egalitarian-in-deviation rules relative to a reference system for resolving conflicting claims problems

Abstract We study claims problems in which agents may also have reference points. We show first that many classical rules satisfy an egalitarian property in this setting; namely, the differences between each agents’ payoff and the corresponding reference value are as equal as possible. We also introduce a broad class of rules that satisfy a generalized condition, dubbed egalitarian-in-deviation relative to a reference system. For each problem, the system proposes a reference vector which is a function of the claims. We show that these rules allocate the nearest efficient point to the reference vector. Our findings generalize previous results in the literature, such as the one stating that the CEA rule minimizes the squared distance to the equal division point. Concede-and-divide, a focal rule to solve two-agent claims problems, does not satisfy the egalitarian-in-deviation condition relative to any reference system. But, under certain conditions, it can be reinterpreted as the limit of a weighted egalitarian-in-deviation rule. Finally, we explore the behavior of egalitarian-in-deviation rules with respect to the important notions of consistency and duality.

Authors

Institutions

Publication Details

Journal
Social Choice and Welfare
Published
2025-07-01
DOI
https://doi.org/10.1007/s00355-025-01613-x
Primary Topic
Game Theory and Voting Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Egalitarian-in-deviation rules relative to a reference system for resolving conflicting claims problems

Josep M. Izquierdo, Carlos Rafels
Social Choice and Welfare
Game Theory and Voting Systems
article

Egalitarian-in-deviation rules relative to a reference system for resolving conflicting claims problems

Josep M. Izquierdo, Carlos Rafels
article en

Abstract

Abstract We study claims problems in which agents may also have reference points. We show first that many classical rules satisfy an egalitarian property in this setting; namely, the differences between each agents’ payoff and the corresponding reference value are as equal as possible. We also introduce a broad class of rules that satisfy a generalized condition, dubbed egalitarian-in-deviation relative to a reference system. For each problem, the system proposes a reference vector which is a function of the claims. We show that these rules allocate the nearest efficient point to the reference vector. Our findings generalize previous results in the literature, such as the one stating that the CEA rule minimizes the squared distance to the equal division point. Concede-and-divide, a focal rule to solve two-agent claims problems, does not satisfy the egalitarian-in-deviation condition relative to any reference system. But, under certain conditions, it can be reinterpreted as the limit of a weighted egalitarian-in-deviation rule. Finally, we explore the behavior of egalitarian-in-deviation rules with respect to the important notions of consistency and duality.

Social Choice and Welfare
Universitat de Barcelona (ES)
Ministerio de Ciencia, Innovación y Universidades, Generalitat de Catalunya, Departament d'Universitats, Recerca i Societat de la Informació, Agencia Estatal de Investigación
Openalex Percentile: Top 78%
Game Theory and Voting Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Egalitarian-in-deviation rules relative to a reference system for resolving conflicting claims problems — Josep M. Izquierdo, Carlos Rafels · Social Choice and Welfare (2025) | TGRS Research Map | TGRS